26 datasets found

The dataset used in the paper is a collection of autonomous vehicle scenarios, where each scenario is represented as a 3x3 grid encoding. The scenarios are encoded using Pauli-X...

The Drawing Recognition dataset is used to recognize drawings.

A dataset for mobile-captured image document recognition, focusing on Vietnamese receipts.

Image Recognition FeedbackLog

The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784.

The FIGRIM dataset is a large-scale image dataset with memorability scores.

The CVPR2011 dataset is a large-scale image dataset with memorability scores.

The Places205 dataset is a large-scale image dataset with memorability scores.

The MemCat dataset is a category-based image set quantified on memorability, containing 10,000 images.

The Office-31 dataset is a benchmark dataset for domain adaptation, containing images from the Amazon domain.

The Office+Caltech-10 dataset is a benchmark dataset for domain adaptation, combining Office-10 and Caltech-10 datasets.

Self-Attention Networks dataset is used for image recognition tasks.

Inception V2 is a deep neural network for image recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of images.

The ResNet-50 and ResNet-101 are used as the backbone image feature extractor.

The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

Google Landmark Recognition 2021 Competition dataset

A dataset of ImageNet images with subtle 3D perspective changes that can break ImageNet-trained classification networks.

A dataset of complex image data with a fixed, known distribution, generated using a computer graphics pipeline.

The Vehicle License Plate (VLP) dataset is a dataset for image recognition and image processing tasks.

The Nico challenge is a benchmark for out-of-distribution generalization for image recognition challenges.